Operational intelligence begins with operational data.
LakeStack streams changes from your production databases directly into your governed data foundation, enabling real-time analytics, AI workloads, and intelligent operations without disrupting production systems.
Latency from operational event to analytical availability
On production systems, reads transaction logs, not tables
Governance, lineage & AI readiness built in from day one
Operational databases weren't built for analytics or AI
Your most valuable data lives in production systems, but extracting it safely and efficiently is harder than it should be.
Capture every change, continuously and automatically
LakeStack reads directly from database transaction logs, not the database itself, so production systems stay unaffected while your data lake stays current.
LakeStack connects to your operational database with the minimum privileges needed to access its replication logs or change streams.
A full snapshot of source tables is captured to create the initial dataset inside the LakeStack data lake, establishing a reliable baseline.
LakeStack reads every insert, update, and delete directly from transaction logs. No table scanning. No additional load on production systems.
Each change becomes a structured event, with record ID, operation type, timestamp, and modified fields, streamed into the LakeStack ingestion layer.
If a table gains new columns or changes structure, LakeStack detects the change and updates the destination schema automatically, no pipeline failures.
Replicated data writes to the LakeStack storage layer in optimized formats, immediately entering the governed lifecycle: lineage tracking, access policies, and AI readiness.
Connect the operational databases you already run
LakeStack replication supports the most widely used operational databases across enterprise and cloud-native environments.
The right approach for every workload
LakeStack supports multiple change data capture strategies so pipelines can be tuned for your database environment and data volumes.
Reads directly from database transaction logs to capture changes with minimal source system impact. Best for high-volume, latency-sensitive workloads.
Identifies changes via a watermark, replicating only records modified since the last sync cycle. Widely compatible across database environments.
Every insert, update, or delete fires a trigger that records the change in a separate audit table, enabling precise event-level tracking.
Compares full datasets to detect changes — best suited for smaller or mid-size data volumes where log access is unavailable.
Replication built into the data platform, not bolted on
Most tools treat replication as a data extraction step. LakeStack treats it as the entry point into your full intelligence architecture.
Log-based capture places no additional query load on operational systems. Applications run normally while replication runs in the background.
Change events stream continuously rather than accumulating in batch exports — dramatically reducing latency between operational events and availability.
Replicated data is immediately subject to LakeStack lineage tracking, access policies, and compliance controls from the moment it arrives.
Instead of building separate integrations for each SaaS tool, teams use a single standardized framework, reducing engineering complexity across every source.
Replicated data flows directly into transformation pipelines optimized for ML training, feature engineering, and AI model development.
Replace fragile custom extraction scripts with a managed replication framework — reducing infrastructure complexity and engineering overhead.
From operational data to operational intelligence
Reliable database replication is the foundation for a new class of real-time, AI-powered capabilities.
Analyze operational events shortly after they occur, enabling faster responses to changing business conditions without waiting for overnight batch runs.
Machine learning systems train on the most current operational state, not stale snapshots, improving model accuracy and real-world relevance.
Streaming operational data powers systems that react in real time: fraud detection, supply chain optimization, predictive maintenance, and more.
Teams replace brittle custom pipelines with a standardized replication framework, freeing engineers to focus on higher-value strategic work.
Frequently asked questions
Most data sources can be connected quickly using pre-built connectors, without writing custom code. The actual setup time depends on the complexity of your source system and access permissions, but in most cases, teams can start ingesting data within hours instead of days. This removes the typical delays caused by engineering dependencies.
Yes, LakeStack supports both real-time and batch ingestion, so you can choose what fits your use case. For operational use cases like dashboards or customer workflows, real-time ingestion ensures your data stays fresh and actionable. For reporting or historical analysis, batch pipelines help optimize cost and performance without compromising reliability.
Schema changes are one of the most common reasons pipelines fail. LakeStack is designed to handle schema evolution automatically, so your pipelines continue running even when source data structures change. This reduces manual fixes, prevents data loss, and ensures your downstream systems always receive consistent data.
LakeStack includes built-in monitoring, alerting, and fault tolerance mechanisms that continuously track pipeline health. If an issue occurs, your team is notified immediately so it can be resolved before it impacts business users. This means fewer silent failures, more predictable data flows, and higher trust in your data.
No, LakeStack handles the underlying infrastructure, so your team does not have to manage pipelines, scaling, or maintenance manually. This allows your engineering and data teams to focus on building use cases and driving outcomes, instead of spending time on operational overhead.
Ready to connect your operational data?
See how LakeStack database replication brings your production databases into your central intelligence platform with zero disruption to operations.
